Journal of clinical hypertension (Greenwich, Conn.)
May 22, 2024
Artificial intelligence (AI) telephone is reliable for the follow-up and management of hypertensives. It takes less time and is equivalent to manual follow-up to a high degree. We conducted a reliability study to evaluate the efficiency of AI telepho...
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is proposed. The method is based on modeling the spontaneous behavior of subjects while pronouncing controlled phonetization. These vocalizations were des...
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
May 4, 2015
BACKGROUND: Delivering healthcare using remote robotic telepresence is an evolving practice in medical and surgical intensive critical care units and will likely have varied implications for work practices and working relationships in intensive care ...
BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction mode...
The Journal of the Acoustical Society of America
Apr 1, 2017
Estimation of the spectral tilt of the glottal source has several applications in speech analysis and modification. However, direct estimation of the tilt from telephone speech is challenging due to vocal tract resonances and distortion caused by spe...
The American journal of occupational therapy : official publication of the American Occupational Therapy Association
Jan 1, 2015
OBJECTIVE: The aim of this study was to determine the effects of home-based robot-assisted rehabilitation coupled with a home exercise program compared with a home exercise program alone on depression and quality of life in people after stroke.
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